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Michelle Z Fang

Showing results (1-10 of 6) with videos related to

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Gene|December 18, 2019
IFNL4: Notable variants and associated phenotypes<sup></sup>Michelle Z Fang, Sarah S Jackson, Thomas R O'Brien
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|November 15, 2025
Cardiac magnetic resonance imaging-large language model Meta AI: a finetuned large language model for identifying findings and associated attributes in cardiac magnetic resonance imaging reportsMichelle Z Fang, Makiya Nakashima, Kailash Singh, et al.
Cardio-Oncology (London, England)|February 13, 2025
Discovery of plasma proteins and metabolites associated with left ventricular cardiac dysfunction in pan-cancer patientsJessica C Lal, Michelle Z Fang, Muzna Hussain, et al.
Cardiovascular Diagnosis and Therapy|November 8, 2024
Artificial intelligence machine learning based evaluation of elevated left ventricular end-diastolic pressure: a Cleveland Clinic cohort studyBo Xu, Michelle Z Fang, Yadi Zhou, et al.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|December 27, 2022
No Association of IFNL4 Genotype With Opportunistic Infections and Cancers Among Men With Human Immunodeficiency Virus 1 InfectionMichelle Z Fang, Sarah S Jackson, Ruth M Pfeiffer, et al.
Journal of the American Heart Association|December 11, 2025
PrevCardioOncAI: Machine Learning Algorithms for Predicting Cardiovascular Disease in Cancer SurvivorsSherry-Ann Brown, Michelle Z Fang, Rodney Sparapani, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Gene|December 18, 2019
IFNL4: Notable variants and associated phenotypes<sup></sup>Michelle Z Fang, Sarah S Jackson, Thomas R O'Brien
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|November 15, 2025
Cardiac magnetic resonance imaging-large language model Meta AI: a finetuned large language model for identifying findings and associated attributes in cardiac magnetic resonance imaging reportsMichelle Z Fang, Makiya Nakashima, Kailash Singh, et al.
Cardio-Oncology (London, England)|February 13, 2025
Discovery of plasma proteins and metabolites associated with left ventricular cardiac dysfunction in pan-cancer patientsJessica C Lal, Michelle Z Fang, Muzna Hussain, et al.
Cardiovascular Diagnosis and Therapy|November 8, 2024
Artificial intelligence machine learning based evaluation of elevated left ventricular end-diastolic pressure: a Cleveland Clinic cohort studyBo Xu, Michelle Z Fang, Yadi Zhou, et al.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|December 27, 2022
No Association of IFNL4 Genotype With Opportunistic Infections and Cancers Among Men With Human Immunodeficiency Virus 1 InfectionMichelle Z Fang, Sarah S Jackson, Ruth M Pfeiffer, et al.
Journal of the American Heart Association|December 11, 2025
PrevCardioOncAI: Machine Learning Algorithms for Predicting Cardiovascular Disease in Cancer SurvivorsSherry-Ann Brown, Michelle Z Fang, Rodney Sparapani, et al.
Pageof 1